Edge detection algorithm for enhancement of linear back projection tomographic images
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2015
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my.unimap-401362015-06-08T04:11:53Z Edge detection algorithm for enhancement of linear back projection tomographic images Muhammad Jaysuman, Pusppanathan Mahdi Faramarzi Fazlul Rahman, Mohd Yunus Nor Muzakkir, Nor Ayob Ruzairi, Abdul Rahim, Prof. Dr. Fatin Aliah, Phang Abdullah, Dr. Usman, Ullah Sheikh, Dr. Loew, Pei Ling, Dr. Khairul Hamimah, Abas Mohd Hafiz, Fazalul Rahiman, Dr. Shafishuhaza, Sahlan jaysuman@hotmail.com normuzakkir@gmail.com ruzairi@fke.utm.my p-fatin@utm.my usman@fke.utm.my leowpl@fke.utm.my khairulhamimah@utm.my hafiz@unimap.edu.my shafis@utm.my Convolution Edge detection Image reconstruction Multiphase flow measurement Process tomography Ultrasonic tomography Link to publisher's homepage at http://www.penerbit.utm.my/ Process tomography (PT) is a leading technique for multiphase flow measurement and flow monitoring systems in various fields. PT has the advantage of interpreting acquired measurement data and transforming it into visual tomographic images. The most common method of image reconstruction uses the linear back projection algorithm which often results in blurry images. This paper proposes an enhancement of the reconstructed images using an edge detection image processing technique to convolve with the original image. This filtering technique calculates approximation changes of the horizontal and vertical image derivatives, thus further enhancing image accuracy. Several ultrasonic tomography images were put into a simulation test to validate it. Hence, the image results are being assessed for its performance. 2015-06-08T04:11:53Z 2015-06-08T04:11:53Z 2014 Article Jurnal Teknologi (Sciences and Engineering), vol. 69(8), 2014, pages 31-34 0127-9696 (P) 2180-3722 (O) http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/3292 http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40136 en Penerbit UTM Press |
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English |
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Convolution Edge detection Image reconstruction Multiphase flow measurement Process tomography Ultrasonic tomography |
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Convolution Edge detection Image reconstruction Multiphase flow measurement Process tomography Ultrasonic tomography Muhammad Jaysuman, Pusppanathan Mahdi Faramarzi Fazlul Rahman, Mohd Yunus Nor Muzakkir, Nor Ayob Ruzairi, Abdul Rahim, Prof. Dr. Fatin Aliah, Phang Abdullah, Dr. Usman, Ullah Sheikh, Dr. Loew, Pei Ling, Dr. Khairul Hamimah, Abas Mohd Hafiz, Fazalul Rahiman, Dr. Shafishuhaza, Sahlan Edge detection algorithm for enhancement of linear back projection tomographic images |
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Link to publisher's homepage at http://www.penerbit.utm.my/ |
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jaysuman@hotmail.com |
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jaysuman@hotmail.com Muhammad Jaysuman, Pusppanathan Mahdi Faramarzi Fazlul Rahman, Mohd Yunus Nor Muzakkir, Nor Ayob Ruzairi, Abdul Rahim, Prof. Dr. Fatin Aliah, Phang Abdullah, Dr. Usman, Ullah Sheikh, Dr. Loew, Pei Ling, Dr. Khairul Hamimah, Abas Mohd Hafiz, Fazalul Rahiman, Dr. Shafishuhaza, Sahlan |
| format |
Article |
| author |
Muhammad Jaysuman, Pusppanathan Mahdi Faramarzi Fazlul Rahman, Mohd Yunus Nor Muzakkir, Nor Ayob Ruzairi, Abdul Rahim, Prof. Dr. Fatin Aliah, Phang Abdullah, Dr. Usman, Ullah Sheikh, Dr. Loew, Pei Ling, Dr. Khairul Hamimah, Abas Mohd Hafiz, Fazalul Rahiman, Dr. Shafishuhaza, Sahlan |
| author_sort |
Muhammad Jaysuman, Pusppanathan |
| title |
Edge detection algorithm for enhancement of linear back projection tomographic images |
| title_short |
Edge detection algorithm for enhancement of linear back projection tomographic images |
| title_full |
Edge detection algorithm for enhancement of linear back projection tomographic images |
| title_fullStr |
Edge detection algorithm for enhancement of linear back projection tomographic images |
| title_full_unstemmed |
Edge detection algorithm for enhancement of linear back projection tomographic images |
| title_sort |
edge detection algorithm for enhancement of linear back projection tomographic images |
| publisher |
Penerbit UTM Press |
| publishDate |
2015 |
| url |
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40136 |
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1643799290972209152 |
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13.214268 |